{"id":7755,"date":"2017-10-17T07:00:39","date_gmt":"2017-10-17T15:00:39","guid":{"rendered":"http:\/\/formtek.com\/blog\/?p=7755"},"modified":"2017-09-04T10:05:40","modified_gmt":"2017-09-04T18:05:40","slug":"data-management-getting-a-grip-on-enterprise-data","status":"publish","type":"post","link":"https:\/\/formtek.com\/blog\/data-management-getting-a-grip-on-enterprise-data\/","title":{"rendered":"Data Management: Getting a Grip on Enterprise Data"},"content":{"rendered":"<p>Data is important for the organization and it is important to develop methodologies to use data efficiently and cost effectively. \u00a0451 Research analyst <a href=\"https:\/\/451research.com\/analyst-team\/analyst\/Henry+Baltazar\">Henry Baltazar <\/a><a href=\"http:\/\/primarydata.com\/static\/base\/downloads\/451_Reprint_PrimaryData_18AUG2017.pdf\">proposed four different approaches<\/a> for <a href=\"https:\/\/www.networkworld.com\/article\/3219527\/data-center\/4-ways-to-simplify-data-management.html\">getting better control on data managed by the organization<\/a>:<\/p>\n<ul>\n<li><strong>Audit.<\/strong>\u00a0 Know what you have. Audit the current usage of data to understand the frequency and urgency that different data is being used within the organization.<br \/>\nMetadata and usage reports can be reviewed to see the frequency of access of data and which groups are using which data.<br \/>\nIt&#8217;s important that the right data is being stored on the right resource.<\/li>\n<li><strong>Centralization.<\/strong> While there are exceptions, a rule of thumb is to simplify data management by consolidating data into fewer systems.<br \/>\nIt is too easy for data to become sprawled across many different storage systems.<\/li>\n<li><strong>Efficient Cloud Storage.<\/strong> Moving data to the cloud can often save money and simplify storage management.<br \/>\nBut cloud data is best used when it can be granularly accessed. Without that, it may be necessary to recover a large block of data from the cloud to retrieve some piece of data. \u00a0Retrieving large blocks of data can incur data transfer costs that are expensive and require a large amount of time to make the transfer.<\/li>\n<li><strong>Automated Data Management.<\/strong> Metadata and data usage patterns derived from machine learning can help automate the use of data.<br \/>\nAutomation and process management tools can help data be used more efficiently and intelligently.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<div class=\"lightsocial_container\"><div class=\"lightsocial_element\"><a class=\"lightsocial_a\" href=\"http:\/\/digg.com\/submit?url=https%3A%2F%2Fformtek.com%2Fblog%2Fdata-management-getting-a-grip-on-enterprise-data%2F&amp;title=\" target=\"_blank\"><img decoding=\"async\" class=\"lightsocial_img\" src=\"https:\/\/formtek.com\/blog\/wp-content\/plugins\/light-social\/digg.png\" alt=\"Digg This\" title=\"Digg This\" \/><\/a><\/div><div 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